1|Page
Palantir Data Engineer Questions with Verified
Answers UPDATED!!!
Data Transformation - ANSWER - Foundry provides an
extensible, scalable build system for data which leverages
multimodal compute to produce output datasets
- Foundry's compute-agnostic "Build" framework provides fully
integrated security and data lineage, and enables mixing-and-
matching of third-party compute runtimes.
Pipeline management - ANSWER - capabilities combine change
management, data quality, and data loading features.
- enables fast, flexible, and scalable delivery of data pipelines
while providing robustness and security
- Data engineers can define a rigorous release process for
production pipelines, including health checks that guarantee
only fully compliant data will be deployed to production. Where
issues are found, the platform provides diagnostics on the
discrepancies detected.
Code Repositories - ANSWER - provides a web-based IDE for
writing and collaborating on production-ready code in Foundry
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Available Features:
1. All common Git version control tasks, including branching,
committing, and tagging releases can be performed through the
web UI
2. Repositories have integrated support for code review and
collaboration through pull requests, including support for highly
configurable permissions to ensure the codebase is high-quality
3. Every repository type includes integrated features to aid with
the code authoring experience, including IntelliSense, code
linting and error checking, and rich help dialogs
Code Repository Types - ANSWER 1. Transforms
2. Functions
3. Model Development
Code Repository Type: Transforms - ANSWER - support
authoring data transformation logic, and include features to
Palantir Data Engineer Questions with Verified
Answers UPDATED!!!
Data Transformation - ANSWER - Foundry provides an
extensible, scalable build system for data which leverages
multimodal compute to produce output datasets
- Foundry's compute-agnostic "Build" framework provides fully
integrated security and data lineage, and enables mixing-and-
matching of third-party compute runtimes.
Pipeline management - ANSWER - capabilities combine change
management, data quality, and data loading features.
- enables fast, flexible, and scalable delivery of data pipelines
while providing robustness and security
- Data engineers can define a rigorous release process for
production pipelines, including health checks that guarantee
only fully compliant data will be deployed to production. Where
issues are found, the platform provides diagnostics on the
discrepancies detected.
Code Repositories - ANSWER - provides a web-based IDE for
writing and collaborating on production-ready code in Foundry
, 2|Page
Available Features:
1. All common Git version control tasks, including branching,
committing, and tagging releases can be performed through the
web UI
2. Repositories have integrated support for code review and
collaboration through pull requests, including support for highly
configurable permissions to ensure the codebase is high-quality
3. Every repository type includes integrated features to aid with
the code authoring experience, including IntelliSense, code
linting and error checking, and rich help dialogs
Code Repository Types - ANSWER 1. Transforms
2. Functions
3. Model Development
Code Repository Type: Transforms - ANSWER - support
authoring data transformation logic, and include features to
